Analytics Engineer

• Develop and maintain foundational data models that serve as the single source of truth for analytics across the organization.
• Translate business requirements into scalable data models, dashboards, and tools to empower stakeholders.
• Partner with engineering, data science, product, and business teams to ensure alignment on priorities and data solutions.
• Build frameworks, tools, and workflows that maximize efficiency for data users while maintaining high standards of data quality and performance.
• Understand data flows from creation, ingestion, transformation, and delivery; take accountability for fixing issues anywhere in the stack.
• Deliver business value by building data models, pipelines, and insights to support experimentation, ad hoc analysis, and product optimization.
• Develop abstractions (UDFs, Python packages, dashboards) and internal frameworks for scalable data workflows and data apps.

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